hub
LS Intranet
Communifire
Powell-365
Working Copy
CodeHub
MyHub Intranet
Git Flow
PyTorch
TensorFlow
Keras
Scikit-learn
OpenCV
NumPy
CUDA Toolkit
Pandas
hub PyTorchBased on our record, PyTorch seems to be a lot more popular than hub. While we know about 112 links to PyTorch, we've tracked only 4 mentions of hub. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use hub here via CLI and forget the gui https://hub.github.com/. - Source: Hacker News / 10 months ago
Try automating the PR process as much as possible. Make use of tools like hub CLI for speeding up the pull request process. Code quality tools can help you automate the due diligence for coding standards and conventions, and test automation tools can assist in bug discovery, and identifying security vulnerabilities. - Source: dev.to / about 1 year ago
Parse_git_branch() { # Speed up opening up a new terminal tab by not # checking `$HOME` ...which can't be a repo anyway # # For the heck of it, micro-optimize this too: # time (repeat 1000000 { [ "$PWD" = "$HOME" ] } ) == ~4.2s # time (repeat 1000000 { [[ "$PWD" == "$HOME" ]] } ) == ~1.4s [[ "$PWD" == "$HOME" ]] && return # Fastest known way to check the current branch name ... Source: almost 2 years ago
You can always query via github api or use the hub client (from their home page https://hub.github.com/). Source: over 2 years ago
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 20 days ago
Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 19 days ago
PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 26 days ago
In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / about 1 month ago
PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / about 1 month ago
LS Intranet - LS Intranet is a corporate intranet that facilitates multiple employees collaborating on projects, and working in synergy.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Communifire - Enterprise Social Collaboration Software
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Powell-365 - Digital workplace solution for businesses of all sizes
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.